PAMS: Platform for Artificial Market Simulations
Project description
pams
PAMS: Platform for Artificial Market Simulations
Documentations & User Guides
Documentations are available on readthedoc
Install
This package is available on pypi as pams
$ pip install pams
$ python
>> import pams
Citation
Currently, no publication related to this repository. Therefore, please cite this repository directly if you want.
@misc{Hirano2022-pams
title={{PAMS: Platform for Artificial Market Simulations}},
autors={Masanori HIRANO, Ryosuke TAKATA},
year={2022},
url = {https://github.com/masanorihirano/pams}
}
Issues and Contribution
About issues (bugs):
- You can report issues here.
- There are no guarantee to support or fix those issues.
Contributions:
- You can send pull requests (PRs) to this repository.
- But, there are no guarantee to merge your PRs.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pams-0.1.0.tar.gz
(36.4 kB
view details)
Built Distribution
pams-0.1.0-py3-none-any.whl
(47.0 kB
view details)
File details
Details for the file pams-0.1.0.tar.gz
.
File metadata
- Download URL: pams-0.1.0.tar.gz
- Upload date:
- Size: 36.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.16 Linux/5.15.0-1035-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1e8b8d09d672348b53a0e8d1b4e068b4736067c869d8863fe0782cddeec9dddd |
|
MD5 | 62d642ab26be15399deb43d7e7526bce |
|
BLAKE2b-256 | c0bcef8aff6c74392848d152361e27efc69935ab98c2776fa320d2bceb10b877 |
File details
Details for the file pams-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: pams-0.1.0-py3-none-any.whl
- Upload date:
- Size: 47.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.4.2 CPython/3.9.16 Linux/5.15.0-1035-azure
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 25fcb0e3ab5c9aefa55921e7c52d6945da222e2bc5d73a5fdbf43c0832ba6873 |
|
MD5 | 5360cabecd77cd7252dae48824edc449 |
|
BLAKE2b-256 | 9db44120dc9fb009b62cb26271ed92a4f12e7a0f779e4840ae47de229e76dc2e |